COVID-19 Infection Severity Classification from CT Scans

  • Research theme/s:

    Healthcare

  • Principal investigator (PI):

    Dr. Mohammad Yaqub

  • Researcher/s:

    Dr. Ibrahim Almakky

  • Funding:

    MBZUAI

  • Department:

    Computer vision

  • Co-PI:

    Nil

  • Student/s

    Nil

  • Collaborators / partners:

    Nil

The rapid spread of COVID-19 infections and the resulting strain on healthcare institutions worldwide made it clear that artificial intelligence (AI) assisted screening and diagnosis can alleviate some of this strain. Because of this, researchers around the world set out to develop deep learning models to assist with the screening and diagnosis of COVID-19 infections with the aim of supporting the medical community in curbing the spread of the virus and managing the treatment for infected cases.
Deep learning models have been developed to determine whether patients are infected with COVID-19 pneumonia. However, infected patients can experience varying levels of clinical manifestations, from no symptoms to critical illness. Thus, in this work we set out to identify the severity of the infection from CT scans to help determine intervention and treatment strategies, which varies from Telemedicine in mild cases to intensive care in critical cases.